Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/23296
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Velinov, Goran | en_US |
dc.contributor.author | Gligoroski, Danilo | en_US |
dc.contributor.author | Kon Popovska, Margita | en_US |
dc.date.accessioned | 2022-10-03T12:10:54Z | - |
dc.date.available | 2022-10-03T12:10:54Z | - |
dc.date.issued | 2008-03 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/23296 | - |
dc.description.abstract | In this paper we present the system of relational data warehouse optimization. The system is based on generalized definition of solution space which includes lot of factors relevant for performance of the relational data warehouses. Novelties are hybrid Greedy - Genetic algorithms applied to generalized solution space and specific techniques for improvement of the efficiency of optimization process. Experimental results shows that our algorithms outperforms traditional Genetic algorithms in the speed of finding optimal (or near optimal) solutions. | en_US |
dc.relation.ispartof | IJCSNS International Journal of Computer Science and Network Security | en_US |
dc.subject | Relational Data Warehouses; Greedy; Genetic Algorithm | en_US |
dc.title | Framework for Generalization and Improvement of Relational Data Warehouses | en_US |
dc.type | Journal Article | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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10.1.1.537.9516.pdf | 200.82 kB | Adobe PDF | View/Open |
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